Evidence map›Paper›PMID 30863952›Full record

ReviewDigestive diseases and sciences2019

Changing Epidemiology of HCC: How to Screen and Identify Patients at Risk?

Naomi Lange, Jean-François Dufour

Abstract readReview
PubMed Publisher
In one paragraph

Review in Digestive diseases and sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Reveal the mechanisms of prescriptions for liver cancer' treatment based on two illustrious senior TCM physicians.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Observational
  9. Prognosis of hepatocellular carcinoma metastasizing to the oral cavity.Maxillofacial plastic and reconstructive surgery · 2021
    Article
  10. Article
  11. Article
  12. Review
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Naomi LangeDepartment of General Internal Medicine, Inselspital-Bern University Hospital, Freiburgstrasse 4, 3010, Bern, Switzerland.
Jean-François DufourHepatology, Department of Visceral Surgery and Medicine, Inselspital-Bern University Hospital, Freiburgstrasse 4, 3010, Bern, Switzerland. Jean-Francois.Dufour@insel.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognosis of patients with hepatocellular carcinoma is dependent on the stage of tumor at diagnosis. The earlier the tumor is found, the higher the chances to offer a curative treatment. In order to diagnose hepatocellular carcinoma early, patients at risk should be enrolled in a surveillance program. The population at risk is usually defined as patients with cirrhosis. These patients should have twice a year a ultrasonographic examination of the liver. However, more and more patients will develop hepatocellular carcinoma in the context of nonalcoholic fatty liver disease which is tightly linked to obesity and diabetes. In these patients, this approach is jeopardized by the difficulty to perform a sonography of good quality due to the obesity and more importantly by the fact that hepatocellular carcinoma occurs frequently in the context of nonalcoholic fatty liver disease before the cirrhosis. This article reviews the impact of the changing epidemiology of hepatocellular carcinoma on its screening.

Indexed as

Carcinoma, HepatocellularHumansLiver NeoplasmsPopulation SurveillanceRisk FactorsEpidemiologyHepatocellular carcinomaLiver cancerPopulation at riskSurveillance

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.